GPT-6 Astra vs LongCat-2.5
GPT-6 Astra leads the LLM Stats Score 57.3 to 50.0. LongCat-2.5 is 38.1x cheaper per token.
OpenAI · Meituan · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 57.3 to 50.0, ranking #4 overall.
The models split the 4 individual benchmarks reported for both models evenly.
On price, LongCat-2.5 is roughly 38.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Astra also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-6 Astra
- overall performance matters — it scores 57.3 and ranks #4 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,050,000 token context window
Choose LongCat-2.5
- cost matters — it's about 38.1x cheaper per token
- you want the most recent training data — it shipped Nov 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for GPT-6 Astra · 23 for LongCat-2.5
GPT-6 Astra outperforms in 2 benchmarks (DeepSWE 1.1, Terminal-Bench 4.0), while LongCat-2.5 is better at 2 benchmarks (BrowseComp, Humanity's Last Exam (with tools, text-only)).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-6 Astra ($10.00/1M tokens) is 33.3x more expensive than LongCat-2.5 ($0.30/1M tokens).
For output processing, GPT-6 Astra ($50.00/1M tokens) is 41.7x more expensive than LongCat-2.5 ($1.20/1M tokens).
In conclusion, GPT-6 Astra is more expensive than LongCat-2.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Astra accepts 1,050,000 input tokens compared to LongCat-2.5's 1,048,576 tokens. LongCat-2.5 can generate longer responses up to 131,072 tokens, while GPT-6 Astra is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-6 Astra and LongCat-2.5 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-6 Astra
LongCat-2.5
Release Timeline
When each model was launched
GPT-6 Astra was released on 2026-09-04, while LongCat-2.5 was released on 2026-11-01.
LongCat-2.5 is 2 months newer than GPT-6 Astra.
Sep 4, 2026
1 months ago
Nov 1, 2026
1 days ago
1mo newerKnowledge Cutoff
When training data ends
GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while LongCat-2.5's cutoff date is not specified.
We can confirm GPT-6 Astra's training data extends to 2026-04-30, but cannot make a direct comparison without LongCat-2.5's cutoff date.
Apr 2026
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Provider Availability
GPT-6 Astra is available from OpenAI. LongCat-2.5 is available from Meituan.
GPT-6 Astra
LongCat-2.5
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Astra and LongCat-2.5 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Astra vs LongCat-2.5.